The session recording will be archived on the site until June 25th, 2023

This session was streamed but not recorded

Curated Track: 

Description:

The continuing emergence of and dependence upon “Big Data” includes very large archives, repositories and data portals that are routinely made available for research and scholarship. Access to these information sources introduces new issues and possible impediments to the conduct of research on important environmental and geospatial problems. For example, credibility of scientific findings is predicated on the ability of other scholars to reproduce results, which might be challenged by needing access to a similar or equivalent set of input data, or by limited capabilities for processing. Another example relates to data modeling and generalization, where modified levels of detail can impact data accuracy, precision, and integration. Questions emerge about how big data sets are managed and evaluated for accuracy, currentness, usability, and relevance to a problem, as well as how data modeling and processing can affect the quality of geospatial data in expected and unanticipated ways. Equally important are proposed ideas to mediate unintended consequences, as well as developing formal and perhaps standardized guidelines for monitoring and reporting impacts when big data are exchanged, shared, or made available through data portals and repositories.

Symposium Description:

The Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE, https://iguide.illinois.edu) is supported by the National Science Foundation (NSF) as part of its Harnessing the Data Revolution Big Idea initiative (https://www.nsf.gov/news/special_reports/big_ideas/harnessing.jsp). Sponsored by I-GUIDE, this symposium will explore theories, concepts, methods, and tools focused on data-intensive geospatial understanding for driving innovative artificial intelligence (AI) and cyberGIS (cyber-based geographic information science and systems) approaches to address sustainability challenges such as aging infrastructure, biodiversity loss, and food and water insecurity.

At the AAG 2023 annual meeting, the Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions will be held by building on the successes of previous Symposia focused on cyberGIS and geospatial data science at AAG annual meetings since 2011. A suite of paper and panel sessions will address cutting-edge advances of cyberGIS, geospatial AI and data science, and fundamental geospatial understanding derived from spatial and spatiotemporal data synthesis. The topical themes of the symposium will include, but are not limited to, frontiers of cyberGIS, geospatial AI and data science, high-performance computing approaches to geographic problem solving, geographic approaches to resilience and sustainability challenges enabled by AI and cyberGIS, and challenges and opportunities of education and workforce development in harnessing the geospatial data revolution.

Non-Presenting Participants